Vol. 6, Issue 5 (2017)
Assessment of genetic divergence in cucumber (cucumis sativus L.) germplasm through clustering and principal component analysis
Author(s): Chandan Singh Ahirwar, DK Singh and ML Kushwaha
Abstract: The present investigation was conducted with two season during July-October, 2014 and February-June, 2015 at Vegetable Research Centre, Department of Vegetable Science in G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand. Pantnagar The genetic divergence among 44 genotypes with two checks Pant Khira-1 and Pointsette of cucumber through cluster analysis. In the first season cluster I and cluster VI had highest mean value for Fruit weight (350.89), during second season, cluster VI had highest mean value for Fruit weight (380.11) and However in pooled data analysis, cluster I had highest mean value for cluster VII Fruit weight (354.98). Days to first male flowers, node number to first male flower, days to first female flowers, node number to first female flower, internodal length, days to first fruit harvest, number of fruits per plant, fruit length, fruit diameter, fruit weight, test weight, seed index, primary branches per plant, plant height and yield contributed towards genetic divergence hence, these characters could respond favorably for phenotypic selection were confirmed by Principal Component Analysis.
How to cite this article:
Chandan Singh Ahirwar, DK Singh, ML Kushwaha. Assessment of genetic divergence in cucumber (cucumis sativus L.) germplasm through clustering and principal component analysis. J Pharmacogn Phytochem 2017;6(5):804-807.